code: def main(unused_argv=None):
      tf.logging.set_verbosity(tf.logging.INFO)
  
      # Load model weights from trained checkpoint and export to SavedModel format
      saved_model_dir = _export_to_saved_model(
          os.path.expanduser(FLAGS.checkpoint),
          FLAGS.alpha,
          FLAGS.num_styles,
      )
  
      # Convert from SavedModel to TensorFlow Lite format
      _convert_to_tflite(
          saved_model_dir,
          FLAGS.num_styles,
          FLAGS.image_size,
          FLAGS.quantize,
          os.path.expanduser(FLAGS.output_model),
      )
  
file_path: magenta/magenta/models/image_stylization/image_stylization_convert_tflite.py
imports: import os
  import tempfile
  from magenta.models.image_stylization import model
  from magenta.models.image_stylization import ops
  import tensorflow.compat.v1
label_desc: Use image node_id 4 for calling a global function with example usage: main(unused_argv) without return types